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Export to Apache Arrow – DuckDB 11570: This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... of a query can be exported to an Apache Arrow Table using the arrow function. Alternatively, results can be returned as a RecordBatchReader using the fetch_record_batch function and results can be read one batch at a time. In addition, relations built using Duck ... _arrow_table" and return as an Arrow Table results = duckdb . sql ( "SELECT * FROM my_arrow_table" ). arrow () Export as a RecordBatchReader import duckdb import pyarrow as pa my_arrow_table = pa . Table . from_pydict ({ 'i' : [ 1 , 2 , 3 , 4 ], 'j' : [ "one" , " ... two" , "three" , "four" ]}) # query the Apache Arrow Table "my_arrow_table" and return as an Arrow RecordBatchReader chunk_size = 1_000_000 results = duckdb . sql ( "SELECT * FROM my_arrow_table" ). fetch_record_batch ( chunk_size ) # Loop ...; https://man.mtool.work/duckdb/1.3/guides/python/export_arrow.html

SQL on Apache Arrow – DuckDB 9301: This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... row_scanner" and return as an Arrow Table results = con . execute ( "SELECT * FROM arrow_scanner" ). arrow () Apache Arrow RecordBatchReaders Arrow RecordBatchReaders are a reader for Arrow's streaming binary format and can also be queried directly as if they wer ... y_recordbatch = pa . RecordBatch . from_pydict ({ 'i' : [ 1 , 2 , 3 , 4 ], 'j' : [ "one" , "two" , "three" , "four" ]}) my_recordbatchreader = pa . ipc . RecordBatchReader . from_batches ( my_recordbatch . schema , [ my_recordbatch ]) # query the Apache Arrow Rec ... ordBatchReader "my_recordbatchreader" and return as an Arrow Table results = con . execute ( "SELECT * FROM my_recordbatchreader WHERE i = 2" ). arrow () 関連キ ...; https://man.mtool.work/duckdb/1.3/guides/python/sql_on_arrow.html

Python Client API – DuckDB 7013: This page is for DuckDB 1.3, which is outdated. Switch to the current version . Search Shortcut cmd + k | ctrl + k Installation Documentation Getting Started Connect Overview Concurrency Data Import Overview Data Sources CSV Files Overview ... ng execute() fetch_record_batch ( self : duckdb.duckdb.DuckDBPyConnection , rows_per_batch : int = 1000000 ) → pyarrow.lib.RecordBatchReader ¶ Fetch an Arrow RecordBatchReader following execute() fetchall ( self : duckdb.duckdb.DuckDBPyConnection ) → list ¶ Fetch ... ational API page . fetch_arrow_reader ( self : duckdb.duckdb.DuckDBPyRelation , batch_size : int = 1000000 ) → pyarrow.lib.RecordBatchReader ¶ Execute and return an Arrow Record Batch Reader that yields all rows Detailed examples can be found at Relational API pa ... at Relational API page . record_batch ( self : duckdb.duckdb.DuckDBPyRelation , batch_size : int = 1000000 ) → pyarrow.lib.RecordBatchReader ¶ Execute and return an Arrow Record Batch Reader that yields all rows Detailed examples can be found at Relational API pa ...; https://man.mtool.work/duckdb/1.3/clients/python/reference/

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